Abstract
Conventional controllers are not able to work well under the influence of delay and disturbance. Hence, it becomes necessary to design a robust fuzzy controller, which guarantees high stability, provides high disturbance rejection for any operating conditions and deals with model uncertainties. Here, the system response for the conventional PID controller, fuzzy logic controller and robust fuzzy controller is compared based on Sugeno model. Robust analysis of the system is carried out to guarantee the stability of the system. For given gamma values and weight values, we check the stability of the system. The results of robust fuzzy controller show that it works well under the influence of model uncertainty, delay and large disturbances.
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Rajendran, M., Parthasarathy, P., Anbumozhi, R. (2020). Robust Analysis of T-S Fuzzy Controller for Nonlinear System Using H-Infinity. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. Advances in Intelligent Systems and Computing, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-8196-6_56
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DOI: https://doi.org/10.1007/978-981-13-8196-6_56
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